Abstract: A pointing method, applied to a pointing device comprising a processing circuit, comprising: (a) receiving input delta by the processing circuit, wherein the input delta indicates supposed movement of the pointing device; (b) adjusting the input delta to generate output delta by the processing circuit, wherein the input delta has a first magnitude and the output delta has a second magnitude, wherein the second magnitude is smaller than or equal to the first magnitude; and (c) output the output delta by the processing circuit.

Abstract: A connected component analysis (CCA) method, which can use labels repeatedly, comprising: defining a label pattern comprising a label and a plurality of neighboring labels; setting a center label of a current pixel of a target binary image according to a binary value of the current pixel and the neighboring pixels; setting at least two of the neighboring labels according to whether the current pixel is in any one of a first row, a first column and a last column; and recording the center label to a label buffer. Labels for marking pixels of the target binary image are first center labels, and then are second center labels, and are the first center labels again after the labels are the second center labels.

Abstract: A pointing method, applied to a pointing device comprising a processing circuit, comprising: (a) receiving input delta by the processing circuit, wherein the input delta indicates supposed movement of the pointing device; (b) adjusting the input delta to generate output delta by the processing circuit, wherein the input delta has a first magnitude and the output delta has a second magnitude, wherein the second magnitude is smaller than or equal to the first magnitude; and (c) output the output delta by the processing circuit.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to recognize a frequency of ambient light flicker and adjust an acquiring phase of the image frame.

Abstract: An optical sensing system comprising: a processing circuit; an optical sensor, configured to sense first optical data respectively in first sensing time intervals; and a TOF (Time of Flight) optical sensor, configured to sense second optical data respectively in second sensing time intervals. The processing circuit computes a distance between a first object and the optical sensing system according to the second optical data. The first sensing time intervals do not overlap with the second sensing time intervals.

Abstract: An image sensing system control method comprising: (a) receiving a first polling from the control circuit by the image sensor at a first polling time; (b) triggering a first dummy read at a first dummy read time after the first polling time, to compute output motion delta occurs between the first polling time and the first dummy read time according to frames sensed by the image sensor between the first polling time and the first dummy read time; (c) receiving a second polling from the control circuit by the image sensor at a second polling time after the first dummy read time; and (d) outputting the output motion delta to the control circuit by the image sensor in a predetermined time range of the second polling time.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to recognize a frequency of ambient light flicker and adjust an acquiring phase of the image frame.

Abstract: A security camera with a motion detection function, which comprises: an image sensor, configured to capture original images; a variation level computation circuit, configured to compute image variation levels of the original images; a long term computation circuit, configured to calculate a first average level for the image variation levels corresponding to M of the original images; a short term computation circuit, configured to calculate a second average level for the image variation levels corresponding to N of the original images, wherein M>N; and a motion determining circuit, configured to determine whether a motion of an object appears in a detection range of the image sensor according to a relation between the first average level and the second average level. By such security camera, the interference caused by noise or small object can be avoided. Accordingly, the motion detection of the security camera can be more accurate.

Abstract: An image sensing system control method comprising: (a) receiving a first polling from the control circuit by the image sensor at a first polling time; (b) triggering a first dummy read at a first dummy read time after the first polling time, to compute output motion delta occurs between the first polling time and the first dummy read time according to frames sensed by the image sensor between the first polling time and the first dummy read time; (c) receiving a second polling from the control circuit by the image sensor at a second polling time after the first dummy read time; and (d) outputting the output motion delta to the control circuit by the image sensor in a predetermined time range of the second polling time.

Abstract: A connected component analysis (CCA) method, which can use labels repeatedly, comprising: defining a label pattern comprising a label and a plurality of neighboring labels; setting a center label of a current pixel of a target binary image according to a binary value of the current pixel and the neighboring pixels; setting at least two of the neighboring labels according to whether the current pixel is in any one of a first row, a first column and a last column; and recording the center label to a label buffer. Labels for marking pixels of the target binary image are first center labels, and then are second center labels, and are the first center labels again after the labels are the second center labels.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to recognize a frequency of ambient light flicker and adjust an acquiring phase of the image frame.

Abstract: An optical navigation system comprising a control circuit and an optical navigation device. The optical navigation device comprises: an image sensor, configured to generate a plurality of image frames; and a motion reporting device, configured to report a first motion of the optical navigation device to the control circuit at a first time after a reference time, and configured to report a second motion to the control circuit at a second time after the first time. The first motion and the second motion are calculated according to the image frames. The control circuit calculates a first scaled motion according to the first motion, the second motion, a first time difference between the first time and the reference time, and a second time difference between the first time and the second time.

Abstract: There is provided an optical sensor including a photodiode, a wave converter, a pixel array and a processor. The photodiode detects ambient light flicker to generate sine waves. The wave converter converts the sine waves to square waves. The processor uses a sampling frequency to count the square waves, and identifies whether the ambient light flicker is well detected according to a counting value of each square wave and a counting value variation of multiple square waves within a count period to accordingly determine whether to adjust an acquiring phase of the image frame.

Abstract: An optical sensing system comprising: a processing circuit; an optical sensor, configured to sense first optical data respectively in first sensing time intervals; and a TOF (Time of Flight) optical sensor, configured to sense second optical data respectively in second sensing time intervals. The processing circuit computes a distance between a first object and the optical sensing system according to the second optical data. The first sensing time intervals do not overlap with the second sensing time intervals.

Abstract: There is provided a 2-stage moving average filter for a navigation device including a delta regulator and an N-taps average circuit. The delta regulator is used as a first stage to receive motion delta at a varied frequency, and combine or split the received motion delta to output a regulated motion delta at a fixed frequency. The N-taps average circuit receives and averages N regulated motion delta and outputs the averaged motion delta at a fixed frequency.

Abstract: A mouse device and method for calibrating sensitivity thereof are provided. The method for calibrating sensitivity includes the following steps. First, sampling information is obtained under a test mode. A calibration factor is obtained according to the sampling information and a preset value. The calibration factor can be obtained by dividing the preset value by the resolution. Under a normal mode, an actual count detected by the mouse device is calibrated according to the calibration factor. Whenever the mouse device is moved on the operating surface for a distance, the actual count detected by the mouse device can be calibrated to obtain a calibrated count. The calibrated count can be calculated by multiplying the actual count by the calibration factor.

Abstract: An optical navigation system comprising a control circuit and an optical navigation device. The optical navigation device comprises: an image sensor, configured to generate a plurality of image frames; and a motion reporting device, configured to report a first motion of the optical navigation device to the control circuit at a first time after a reference time, and configured to report a second motion to the control circuit at a second time after the first time. The first motion and the second motion are calculated according to the image frames. The control circuit calculates a first scaled motion according to the first motion, the second motion, a first time difference between the first time and the reference time, and a second time difference between the first time and the second time.